general approach to accurately predict the flash points of complex fuels such as gasoline, jet fuels, diesels, and biofuels. The predictive method is based on a combination of Catoire - Naudet model with a fully predictive activity coefficient model. Excellent predictions of the flash points of mixtures are obtained for a broad variety of systems, when the COSMO-SAC dsp thermodynamic model is used. It can be used to predict the flash points of mixtures of various types of fuels: ex-fossil, first, second and third generation biofuels and their mixtures. The new approach can take into account the addition of molecules to a complex fuel when experimental measurements are not available, whatever the reasons are. The theoretical predictions confirm the experimental observation that a small amount of volatile compound such as ethanol can dramatically reduce the flash point of multicomponent fuels.

Patel, A.K., Choi, Y.Y., Sim, S.J., 2020. Emerging prospects of mixotrophic microalgae: Way forward to sustainable bioprocess for environmental remediation and cost-effective biofuels. Bioresource Technology 300, 122741.

http://www.sciencedirect.com/science/article/pii/S0960852420300109 Algal bioremediation becoming most fascinating to produce biomass as biofuels feedstock while remediating wastes, also improving carbon-footprint through carbon capturing and utilization (CCU) technology. Non-algae process however offers effective treatment but metabolic CO emission is major drawback towards sustainable 2 bioprocess. Mixotrophic cultivation strategy (MCS) enables to treat organic and inorganic wastes which broadly extend microalgae application towards cleaner and sustainable bioeconomy. Latest focus of global think-tanks to encourage bioprocess holding promise of sustainability via CCU ability as important trait. Several high CO 2 emitting industries forced to improve their carbon-footprints. MCS driven microalgae treatment could be best solution for those industries. This review covers recent updates on MCS applications for waste-to-value (biofuels) and environment remediation. Moreover, recommendations to fill knowledge gaps, and commercial algal biofuel could be cost-effectiveness and sustainable technology for biocircular economy if fuelled by waste streams from other industries.

Paver, S.F., Newton, R.J., Coleman, M.L., 2020. Microbial communities of the Laurentian Great Lakes reflect connectivity and local biogeochemistry. Environmental Microbiology 22, 433-446.

https://doi.org/10.1111/1462-2920.14862 The Laurentian Great Lakes are a vast, interconnected freshwater system spanning strong physicochemical gradients, thus constituting a powerful natural laboratory for addressing fundamental questions about microbial ecology and evolution. We present a comparative analysis of pelagic microbial communities across all five Laurentian Great Lakes, focusing on Bacterial and Archaeal picoplankton characterized via 16S rRNA amplicon sequencing. We collected samples throughout the water column from the major basins of each lake in Alphaproteobacteria spring and summer over 2 years. Two oligotypes, classified as LD12 ( ) and acI-B1 Actinobacteria ( ), were among the most abundant in every sample. At the same time, microbial communities showed distinct patterns with depth during summer stratification. Deep hypolimnion samples were frequently Chloroflexi dominated by a oligotype that reached up to 19% relative abundance. Stratified surface communities differed between the colder, less productive upper lakes (Superior, Michigan, Huron) and warmer, Actinobacteria more productive lower lakes (Erie, Ontario), in part due to an oligotype (acI-C2) that averaged 7.7% of sequences in the lower lakes but <0.2% in the upper lakes. Together, our findings suggest that both hydrologic connectivity and local selective pressures shape microbial communities in the Great Lakes and establish a framework for future investigations.

Payandi-Rolland, D., Shirokova, L.S., Nakhle, P., Tesfa, M., Abdou, A., Causserand, C., Lartiges, B., Rols, J.-L., Guérin, F., Bénézeth, P., Pokrovsky, O.S., 2020. Aerobic release and biodegradation of dissolved organic matter from frozen peat: Effects of temperature and heterotrophic bacteria. Chemical Geology 536, 119448.

http://www.sciencedirect.com/science/article/pii/S0009254119305777